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In this study we developed a novel Dissimilarity-Performance (DP) index which incorporates two important criteria for the selection of base classifiers to participate in voting: their differential response in classification (dissimilarity) when combined in triads and their individual performance. To develop this empirical index we firstly used a range of different datasets to evaluate the relationship between voting results and measures of dissimilarity among classifiers of different types (rules, trees, lazy classifiers, functions and Bayes). Secondly, we computed the combined effect on voting performance of classifiers with different individual performance and\/or diverse results in the voting performance. Our DP index was able to rank the classifier combinations according to their voting performance and thus to suggest the optimal combination. The proposed index is recommended for individual machine learning users as a preliminary tool to identify which classifiers to combine in order to achieve more accurate classification predictions avoiding computer intensive and time-consuming search. <\/jats:p>","DOI":"10.1142\/s0218213018500124","type":"journal-article","created":{"date-parts":[[2018,3,16]],"date-time":"2018-03-16T07:31:09Z","timestamp":1521185469000},"page":"1850012","source":"Crossref","is-referenced-by-count":11,"title":["Optimized Classification Predictions with a New Index Combining Machine Learning Algorithms"],"prefix":"10.1142","volume":"27","author":[{"given":"Androniki","family":"Tamvakis","sequence":"first","affiliation":[{"name":"Department of Marine Sciences, University of the Aegean, University Hill, Mytilene, 81100, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christos-Nikolaos","family":"Anagnostopoulos","sequence":"additional","affiliation":[{"name":"Department of Cultural Technology and Communication, University of the Aegean, University Hill, Mytilene, 81100, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"George","family":"Tsirtsis","sequence":"additional","affiliation":[{"name":"Department of Marine Sciences, University of the Aegean, University Hill, Mytilene, 81100, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Antonios D.","family":"Niros","sequence":"additional","affiliation":[{"name":"Department of Cultural Technology and Communication, University of the Aegean, University Hill, Mytilene, 81100, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sofie","family":"Spatharis","sequence":"additional","affiliation":[{"name":"Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, Scotland, G12 8QQ, UK"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"219","published-online":{"date-parts":[[2018,5,21]]},"reference":[{"key":"p_1","first-page":"3","author":"Carbonell J. 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